BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

217 related articles for article (PubMed ID: 33905055)

  • 1. Quantitative mapping of individual voxels in the peritumoral region of IDH-wildtype glioblastoma to distinguish between tumor infiltration and edema.
    Dasgupta A; Geraghty B; Maralani PJ; Malik N; Sandhu M; Detsky J; Tseng CL; Soliman H; Myrehaug S; Husain Z; Perry J; Lau A; Sahgal A; Czarnota GJ
    J Neurooncol; 2021 Jun; 153(2):251-261. PubMed ID: 33905055
    [TBL] [Abstract][Full Text] [Related]  

  • 2. MRI radiomics to differentiate between low grade glioma and glioblastoma peritumoral region.
    Malik N; Geraghty B; Dasgupta A; Maralani PJ; Sandhu M; Detsky J; Tseng CL; Soliman H; Myrehaug S; Husain Z; Perry J; Lau A; Sahgal A; Czarnota GJ
    J Neurooncol; 2021 Nov; 155(2):181-191. PubMed ID: 34694564
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Distinguishing Tumor Cell Infiltration and Vasogenic Edema in the Peritumoral Region of Glioblastoma at the Voxel Level via Conventional MRI Sequences.
    He L; Zhang H; Li T; Yang J; Zhou Y; Wang J; Saidaer T; Liu X; Wang L; Wang Y
    Acad Radiol; 2024 Mar; 31(3):1082-1090. PubMed ID: 37689557
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Predicting Glioblastoma Recurrence by Early Changes in the Apparent Diffusion Coefficient Value and Signal Intensity on FLAIR Images.
    Chang PD; Chow DS; Yang PH; Filippi CG; Lignelli A
    AJR Am J Roentgenol; 2017 Jan; 208(1):57-65. PubMed ID: 27726412
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Quantification of Radiomics features of Peritumoral Vasogenic Edema extracted from fluid-attenuated inversion recovery images in glioblastoma and isolated brain metastasis, using T1-dynamic contrast-enhanced Perfusion analysis.
    Parvaze PS; Bhattacharjee R; Verma YK; Singh RK; Yadav V; Singh A; Khanna G; Ahlawat S; Trivedi R; Patir R; Vaishya S; Shah TJ; Gupta RK
    NMR Biomed; 2023 May; 36(5):e4884. PubMed ID: 36453877
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Association of Isocitrate Dehydrogenase (IDH) Status With Edema to Tumor Ratio and Its Correlation With Immune Infiltration in Glioblastoma.
    Dubinski D; Won SY; Rauch M; Behmanesh B; Ngassam LDC; Baumgarten P; Senft C; Harter PN; Bernstock JD; Freiman TM; Seifert V; Gessler F
    Front Immunol; 2021; 12():627650. PubMed ID: 33868245
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Development and Validation of a MRI-Based Radiomics Prognostic Classifier in Patients with Primary Glioblastoma Multiforme.
    Chen X; Fang M; Dong D; Liu L; Xu X; Wei X; Jiang X; Qin L; Liu Z
    Acad Radiol; 2019 Oct; 26(10):1292-1300. PubMed ID: 30660472
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Multiparametric MRI-Based Radiomics Analysis to Efficiently Classify Tumor Subregions of Glioblastoma: A Pilot Study in Machine Learning.
    Chiu FY; Le NQK; Chen CY
    J Clin Med; 2021 May; 10(9):. PubMed ID: 34068528
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Multiregional radiomics profiling from multiparametric MRI: Identifying an imaging predictor of IDH1 mutation status in glioblastoma.
    Li ZC; Bai H; Sun Q; Zhao Y; Lv Y; Zhou J; Liang C; Chen Y; Liang D; Zheng H
    Cancer Med; 2018 Dec; 7(12):5999-6009. PubMed ID: 30426720
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Multiparametric Magnetic Resonance Imaging in the Assessment of Primary Brain Tumors Through Radiomic Features: A Metric for Guided Radiation Treatment Planning.
    Florez E; Nichols T; E Parker E; T Lirette S; Howard CM; Fatemi A
    Cureus; 2018 Oct; 10(10):e3426. PubMed ID: 30542636
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Accuracy of apparent diffusion coefficient in differentiation of glioblastoma from metastasis.
    Beig Zali S; Alinezhad F; Ranjkesh M; Daghighi MH; Poureisa M
    Neuroradiol J; 2021 Jun; 34(3):205-212. PubMed ID: 33417503
    [TBL] [Abstract][Full Text] [Related]  

  • 12. MRI radiomic features of peritumoral edema may predict the recurrence sites of glioblastoma multiforme.
    Long H; Zhang P; Bi Y; Yang C; Wu M; He D; Huang S; Yang K; Qi S; Wang J
    Front Oncol; 2022; 12():1042498. PubMed ID: 36686829
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Differentiation of brain tumor-related edema based on 3D T1rho imaging.
    Villanueva-Meyer JE; Barajas RF; Mabray MC; Chen W; Shankaranarayanan A; Koon P; Barani IJ; Tihan T; Cha S
    Eur J Radiol; 2017 Jun; 91():88-92. PubMed ID: 28629576
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Differentiation between Glioblastoma Multiforme and Primary Cerebral Lymphoma: Additional Benefits of Quantitative Diffusion-Weighted MR Imaging.
    Ko CC; Tai MH; Li CF; Chen TY; Chen JH; Shu G; Kuo YT; Lee YC
    PLoS One; 2016; 11(9):e0162565. PubMed ID: 27631626
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A quantitative model based on clinically relevant MRI features differentiates lower grade gliomas and glioblastoma.
    Cao H; Erson-Omay EZ; Li X; Günel M; Moliterno J; Fulbright RK
    Eur Radiol; 2020 Jun; 30(6):3073-3082. PubMed ID: 32025832
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Radiomics features to distinguish glioblastoma from primary central nervous system lymphoma on multi-parametric MRI.
    Kim Y; Cho HH; Kim ST; Park H; Nam D; Kong DS
    Neuroradiology; 2018 Dec; 60(12):1297-1305. PubMed ID: 30232517
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Radiomic signature of infiltration in peritumoral edema predicts subsequent recurrence in glioblastoma: implications for personalized radiotherapy planning.
    Rathore S; Akbari H; Doshi J; Shukla G; Rozycki M; Bilello M; Lustig R; Davatzikos C
    J Med Imaging (Bellingham); 2018 Apr; 5(2):021219. PubMed ID: 29531967
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prediction of survival with multi-scale radiomic analysis in glioblastoma patients.
    Chaddad A; Sabri S; Niazi T; Abdulkarim B
    Med Biol Eng Comput; 2018 Dec; 56(12):2287-2300. PubMed ID: 29915951
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Predicting survival in patients with glioblastoma using MRI radiomic features extracted from radiation planning volumes.
    Geraghty BJ; Dasgupta A; Sandhu M; Malik N; Maralani PJ; Detsky J; Tseng CL; Soliman H; Myrehaug S; Husain Z; Perry J; Lau A; Sahgal A; Czarnota GJ
    J Neurooncol; 2022 Feb; 156(3):579-588. PubMed ID: 34981301
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Radiomic features from the peritumoral brain parenchyma on treatment-naïve multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme: Preliminary findings.
    Prasanna P; Patel J; Partovi S; Madabhushi A; Tiwari P
    Eur Radiol; 2017 Oct; 27(10):4188-4197. PubMed ID: 27778090
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.